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Manager, Data Engineering and Machine Learning

Manager, Data Engineering and Machine Learning

MNPCalgary, AB
Il y a 11 jours
Description de poste

Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.

Combine your passion with purpose and join MNP's Data and Analytics team as a Manager, Data Engineering and Machine Learning. Work with tech-savvy problem solvers who embrace digital transformation and the possibilities technology brings to the future of our industry. You'll make an impact by designing, developing and maintaining innovative, high-quality solutions that are defining the way MNP does business.

MNP is proudly Canadian. Providing business strategies and solutions, we are a leading national accounting, tax and business advisory firm in Canada. Entrepreneurial to our core, our talented team members transcend obstacles into opportunities and are successfully transforming mid-market business practices.

Responsibilities

  • Data Engineering

Work alongside the Data Science, Technology Development, and business teams in the further development of MNP's Enterprise Analytics program

  • Assist with the development and maintenance of our Azure data platform, which uses a data Lakehouse architecture and utilizes; Azure Databricks and Delta, Data Factory, Azure Data Lake storage, Azure SQL and Power Platform
  • Play a leadership role in the development of the data architecture, developing a strong understanding of business processes and transforming and modelling data for analytical consumption
  • Develop scripts and stored procedures for data extraction, load, and transformation processes
  • Performance monitor and orchestrate all analytical data related processes
  • Assist with platform monitoring; security, governance (Unity Catalog), pipelines, costs, user access, and related tasks
  • Support CI / CD pipelines in Azure DevOps (YAML)
  • Machine Learning & Data Science

    • Support the data science and ML team with project planning, model / pipeline design and best practices

  • Support the data science and ML team with the productionization of products utilizing the Databricks Intelligence Platform (MLFlow, Model Serving, Feature Store, Vector Search, and related tasks
  • Assist with the design, development and productionization of any new Gen AI / RAG / LLM initiatives

    • Skills and Experience

  • Five (5) or more years of professional experience in a data engineering, data architecture, or BI development roles
  • Three (3) or more years of hands-on experience using Databricks (Notebooks, Workflows, Lakehouse Architecture, Delta Tables, Delta Live Tables, MLFlow, Vector Search, Feature Store, Unity Catalog, or Lakehouse Federation
  • Experience in data integration, transformation, preparation and data modeling
  • Experience with :

    • ETL / ELT Data pipeline development using ADF

  • Azure SQL server and other Azure cloud data services
  • Azure DevOps CICD Pipelines
  • Power Platform would be considered an asset (Power BI, Power Apps and Power Automate)
  • Strong understanding of Databricks Lakehouse Architecture and best practices
  • Hands on experience working with business intelligence and development teams
  • Willingness to develop a thorough understanding of MNP's services, businesses and industry

    • With a focus on high-potential earnings, MNP is proud to offer customized rewards that support our unique culture and a balanced lifestyle to thrive at work and outside of the office. You will be rewarded with generous base pay, vacation time, 4 paid personal days, a group pension plan with 4% matching, voluntary savings products, bonus programs, flexible benefits, mental health resources, exclusive access to perks and discounts, professional development assistance, MNP University, a flexible 'Dress For Your Day' environment, firm sponsored social events and more!

    We embrace diversity as a core value and celebrate our differences. We believe each team member contributes unique gifts and amplifying their potential makes our business stronger. We encourage people with disabilities to apply!